44 results about "Mass transfer coefficient" patented technology

The invention belongs to the field of soil environment pollution simulation and prediction, and provides a prediction method based on a two-point chemical unbalanced model, which is used for quantitatively evaluating the effect of regulating and controlling the migration behavior of p-nitrophenol in acid red soil by straw stalk biochar. According to the method, a biochar-red soil composite medium system is constructed, a soil column leaching experiment is carried out to obtain penetration curve data, a two-point chemical unbalance model in CXTFIT software is utilized to carry out parameter inversion, and key parameters such as a retardation factor, a two-region distribution coefficient, a mass transfer coefficient and a liquid phase degradation coefficient are accurately identified. Model verification shows that the goodness of fit is high, and a parameter change rule reveals the inherent mechanism of enhancing the pollutant retention capacity, changing the proportion of fast and slow adsorption sites and influencing mass transfer kinetics by the biochar. Based on the verified model, the long-term migration behavior and pollution risk of p-nitrophenol under different environmental conditions can be simulated, and a scientific basis is provided for groundwater pollution control and remediation strategy optimization.

The application discloses a novel advanced oxidation device which comprises an outer shell, a gas-liquid mixing chamber, an ultrasonic atomization disc, an air inlet hole, a water inlet hole, an ozone generator, a UV reaction disc tube and the like. Through ultrasonic catalysis and ultraviolet light catalysis, O3 is excited to generate a large amount of higher oxidizing ·OH, the mixing degree and turbulence intensity of ozone and sewage are improved, the mass transfer coefficient is increased, the mass transfer rate of ozone is improved, four-stage oxidation reactions are carried out in one reactor, and thus the ozone oxidation efficiency and effect are greatly improved, the pollutants in the wastewater are subjected to intensified oxidation, and thus the pollutants in the wastewater are degraded and removed.

The invention provides a rapid salinity and moisture determination method based on ultrasonic synergistic tumbling and pickling beef, which comprises the following steps: determining the salinity and moisture content in the ultrasonic synergistic tumbling and pickling beef by using a traditional physical and chemical analysis method, and obtaining corresponding predicted values by depending on a Fick second law diffusion model; correlation analysis is carried out on the measured value and the predicted value, and a diffusion model with good fitting is established; establishing a mathematical model between different ultrasonic powers of the ultrasonic synergistic tumbling equipment and mass transfer coefficients of salt and water, and enabling the ultrasonic powers to be in one-to-one correspondence with the mass transfer coefficients of salt and water; and combining the mathematical model with the diffusion model to quickly predict the content of salt and moisture in the beef pickled for the specified time under the specified ultrasonic power. The method disclosed by the invention is convenient and efficient, can provide support for rapid salt and moisture determination and process optimization for enterprises, is beneficial to popularization of an ultrasonic synergistic tumbling pickling technology in meat pickling, and meets the standardized production requirements of meat enterprises.

The application discloses a method for determining and distinguishing methane bubble flux and diffusion flux released by water bodies, and belongs to the field of methane flux determination in environmental water bodies, and comprises the following steps: determining the gas content of CH4 and N2O in the gas after the water body at a sampling point and surrounding atmosphere are shaken together and in the surrounding atmosphere of the water body at the sampling point, calculating the gas concentration of CH4 and N2O in the water body when the water body and the surrounding atmosphere are balanced and in the water body at the actual sampling point; determining the release flux of N2O and the total release flux of CH4 in the water body; calculating and comparing the gas mass transfer coefficients of diffusion type CH4 and total CH4; and calculating the CH4 diffusion and bubble flux. The application utilizes N2O to calculate the CH4 diffusion flux, realizes the rapid distinction of bubble type and diffusion type CH4 of water bodies, can collect and determine CH4 gas on a large scale in multiple environments, and solves the problems that CH4 determination is easily affected by the environment, time-consuming is relatively long, and it is difficult to capture occasional bubble events.

The application discloses a KR molten iron pretreatment endpoint sulfur content prediction method and system, comprising the following steps: obtaining the current KR molten iron pretreatment process molten iron ladle and stirring paddle structure parameters, molten iron weight and temperature parameters, and stirring paddle rotating speed and immersion depth parameters; obtaining the molten iron flow field change relationship formula according to the above obtained parameters; obtaining the current KR molten iron pretreatment process desulfurizer addition amount and desulfurizer diameter parameters; obtaining the desulfurization rate constant and mass transfer coefficient change relationship formula according to the above parameters and the molten iron flow field distribution data; determining the molten iron sulfur content change relationship formula with the KR molten iron pretreatment process parameters according to the desulfurization mass transfer coefficient, and determining the target time molten iron sulfur content. The technical scheme of the application can quantitatively predict the molten iron sulfur content change and the target time sulfur content size under different KR molten iron pretreatment process parameters.

The invention relates to the technical field of water treatment equipment multi-dimensional management, and discloses a water treatment equipment multi-dimensional management system based on an intelligent water affair cloud platform, and the system comprises the steps: calculating a dynamic alpha factor in real time through on-site off-gas detection data and a clear water reference mass transfer coefficient, and carrying out the real-time calculation of a dynamic alpha factor based on the monotonous relation between a bubble stagnation cap and mass transfer resistance; and performing inversion to obtain continuous parameters for quantifying the gas-liquid interface state. And further calculating the real-time sensitivity of the parameter to the air volume of the air blower, constructing an air volume and mass transfer nonlinear model, and solving the target air volume with the minimum energy consumption under the condition of meeting the technological oxygen demand constraint condition. And finally, the target air volume serves as a control instruction to be issued, meanwhile, interface recovery time is output according to the time change rate of the gas-liquid interface parameters, and dynamic energy saving and interface state collaborative management of the water treatment aeration system is achieved.

This utility model discloses a mixing agitator for a hydrogenation reactor, comprising a reactor body, multiple legs fixedly connected to the outer wall of the bottom of the reactor body, a top cover rotatably connected to the top of the reactor body, a feed pipe fixedly connected to the top of the top cover, a feed cover plate rotatably connected to the top of the feed pipe, a discharge pipe fixedly connected to the bottom of the reactor body, a discharge valve fixedly connected to the outer wall of the discharge pipe, a stirring mechanism installed on the inner wall of the reactor body, an aeration treatment mechanism installed on the top of the reactor body, and a foam elimination mechanism installed inside the reactor body. The air pump of this utility model's aeration treatment mechanism introduces hydrogen gas into the rotating shaft through the air inlet pipe, and sprays it out from the aeration pipe through the air guide hose. This, combined with the motor driving the rotating shaft and stirring rod of the stirring mechanism, causes the hydrogen gas to disperse into tiny bubbles. Simultaneously, a scraper removes material from the reactor wall, avoiding dead zones and improving the uniformity of the gas-liquid-solid three-phase mixing. The mass transfer coefficient is improved compared to traditional agitators.

The application discloses a kind of prediction method and system of cut tobacco outlet moisture, belong to cut tobacco outlet moisture prediction technical field.Its method includes: obtaining the outside boundary condition of cylinder of cut tobacco machine;The outside boundary condition of cylinder includes historical outside boundary condition and current outside boundary condition;The historical outside boundary condition is input into the fuzzy rule classification model constructed in advance, and current working condition stage is output;The current outside boundary condition and the inside boundary condition of cylinder mechanism model feedback are input into the heat and mass transfer regression algorithm model constructed in advance, and inside heat and mass transfer coefficient of cylinder is output;The current outside boundary condition, current working condition and inside heat and mass transfer coefficient of cylinder are input into the cylinder mechanism model constructed in advance, and the predicted value of cut tobacco machine outlet moisture is output.The application can consider the multiple limiting conditions existing in actual production, and organically combine cut tobacco machine mechanism model and data model, can predict cut tobacco machine outlet moisture under given condition.

The invention relates to the technical field of adsorption detection, and discloses an imidazolium resin adsorption kinetic parameter online identification method and system.The method comprises the steps that 1, flow, inlet and outlet water concentration, conductivity, temperature and pH value are synchronously collected, and apparent ion strength is obtained through the conductivity; step 2, performing mass balance based on the flow, the inlet and outlet water concentration and the resin dry basis mass to obtain a real-time track of the average adsorption capacity of the resin; step 3, constructing counter-ion coupling isothermal driving force and screening a quasi-balance section; 4, solving isothermal coupling parameters by combining a quasi-balance relational expression; 5, calculating an overall mass transfer coefficient point by point; step 6, simultaneously solving an outer membrane mass transfer proportionality coefficient and an in-hole mass transfer coefficient under two levels of flow; and step 7, constructing a core parameter group and outputting a consistency judgment result identifier. According to the method, online identification and consistency judgment of the adsorption thermodynamic parameters and the mass transfer kinetic parameters of the imidazolium resin are realized.

The application discloses an inner component, a leaching tower and a removal system, a method for removing small molecular substances in polyglycolic acid, a product and application. The inner component comprises a conical part and a trumpet part; at least part of the wide opening end of the conical part is arranged in the trumpet part, and there is an annular gap between the wide opening end of the conical part and the inner surface of the trumpet part on the same plane as the wide opening end of the conical part; in the generatrix of the conical part, the line connecting the wide opening end and the narrow opening end of the conical part is an arc; in the generatrix of the trumpet part, the line connecting the wide opening end and the narrow opening end of the trumpet part is an arc. The newly developed inner component can improve the liquid-solid two-phase speed in the leaching tower, improve the mass transfer coefficient, and at the same time, the curved surface design can increase the rotating speed of the particles to improve the surface renewal effect of the particles, thereby promoting the leaching effect of the small molecular substances. The method for removing small molecular substances in polyglycolic acid can effectively reduce the small molecular content in PGA.

The invention provides an extraction separation process intelligent simulation optimization method based on digital twinning, which relates to the technical field of chemical process control, and comprises the following steps: establishing a digital twinning model and a numerical calculation model of extraction separation physical equipment, and generating a simulation reference state; acquiring real-time operation data, comparing the real-time operation data with a simulation reference state, identifying a deviation region, adjusting a local mass transfer coefficient, and solving to obtain a correction state field; constructing a coupling matrix of concentration gradient and velocity distribution based on the correction state field, and calibrating a mass transfer dominant flow area through characteristic decomposition; setting a virtual disturbance source in the region to perform multi-working-condition simulation, and screening an optimal disturbance frequency; extracting the distribution variance of the retention time of the tower section, calibrating a flow offset tower section, and calculating the space overlapping degree of the flow offset tower section and the mass transfer dominant flow area; and the aperture ratio of the distributor or the feeding pulsation frequency is selectively adjusted according to the overlapping degree. Accurate simulation and dynamic optimization of the extraction separation process are realized, and the mass transfer efficiency and the separation performance are improved.

The invention discloses a woven membrane with an inclination angle, a double-layer woven degassing membrane prepared from the woven membrane and application of the double-layer woven degassing membrane. The woven membrane is formed by weaving a plurality of membrane filaments and weaving yarns, and the weaving direction of the membrane filaments and the weaving direction of the weaving yarns form a non-vertical included angle; the double-layer woven membrane comprises two woven membrane pieces, one woven membrane piece is rotated by 180 degrees in the warp direction and then attached to the other woven membrane piece, and a liquid flow channel with non-parallel wall faces is formed between the two woven membrane pieces. The prepared double-layer woven degassing film can actively enhance fluid disturbance and improve the mass transfer coefficient; according to the membrane type oxygenator prepared by using the degassing membrane, the pre-filling amount can be reduced to an acceptable range of small animals.

The application discloses a gas treatment reactor with a back-mixing inner part and belongs to the technical field of gas treatment equipment. The gas treatment reactor comprises a cylinder, an upper head connected to the upper end of the cylinder and a lower head connected to the lower end of the cylinder, an exhaust pipe is connected to the upper part of the upper head, a liquid discharge pipe is connected to the lower part of the lower head, a liquid inlet pipe is connected to the upper part of the cylinder below the upper head, a gas inlet pipe is connected to the upper part of the cylinder above the lower head, a back-mixing inner part is installed on the inner wall of the cylinder above the gas inlet pipe, and a defoaming mechanism is also installed on the inner wall of the cylinder. The gas treatment reactor provided by the application is internally provided with the back-mixing inner part, a vortex of liquid phase back-mixing is formed when gas and liquid are contacted at the lower part of the reactor, the mass transfer coefficient is increased, the residence time of the gas-liquid two-phase is increased, meanwhile, the device of the application does not need a large number of tower plates and other components, and the transformation from a gas absorption plate-type tower to a new-type reactor is realized.

The application provides a heterogeneous reservoir acid fracturing parameter design method and system, the method constructs an acidification reconstruction geometric model for a reservoir to be reconstructed, introduces required acidification section length and section thickness data to calculate acid liquid flow rates in fractures under different construction discharge capacities in combination with fracture attribute data, further considers acid etching reaction rates and mass transfer coefficients to calculate acid concentrations on inner walls of fractures reacted with a reservoir matrix, determines etching widths of natural fracture walls according to attribute parameters of the reservoir matrix, further calculates reservoir etching volumes corresponding to different construction acid amounts and acid etching fracture widths and lengths, finally decides corresponding acid etching fracture conductivity capacities according to a correction principle of an N-K model, and selects optimal acid injection parameters according to preset optimization conditions. By using the scheme, the problems of small calculation scales and complicated operations in the prior art are effectively overcome, analytical solutions are flexibly used in the calculation process, and an acid injection scheme with optimal acid etching effects and conductivity capacities is accurately and efficiently selected.

The invention mainly relates to the technical field of hydrogen energy application, in particular to a simulation calculation method and device for an oxygen mass transfer coefficient in a fuel cell catalyst layer. The invention provides a simulation calculation method for an oxygen mass transfer coefficient in a fuel cell catalytic layer. The simulation calculation method comprises the following steps: establishing a fuel cell numerical model based on an aggregate sub-model; based on the numerical model, constructing an iterative algorithm based on a fuel cell polarization curve; setting an oxygen mass transfer coefficient in the catalyst layer as an initial value within a preset value range, calculating based on an iterative algorithm to obtain a corresponding simulated polarization curve, and comparing the simulated polarization curve with a pre-obtained experimental polarization curve to obtain an error value; and based on the obtained error value as a convergence criterion, updating the value of the oxygen mass transfer coefficient through the iterative algorithm until the error value meets a preset threshold value, and outputting the corresponding oxygen mass transfer coefficient. And efficient and accurate calculation of the mass transfer coefficient of oxygen in the ionomer is realized.

The invention discloses a carbonate rock rough slit H + mass transfer coefficient calculation method based on a power law acid solution. The method comprises the following steps: 1) deriving a mass transfer coefficient calculation method based on a boundary layer theory and a two-dimensional convective diffusion differential equation; and 2) considering and correcting the power law characteristics of the acid liquor, and constructing the H + mass transfer coefficient calculation method.Compared with the prior art, the H + mass transfer coefficient calculation method provided by the invention considers the power law characteristics of the acid liquor, and is more suitable for the actual situation of a field non-Newtonian acid liquor system.

The application provides a high-rise building gap structure ozone permeation flux prediction method, device, equipment and storage medium, relating to the environmental pollution control technical field.The method comprises the following steps: obtaining multi-source parameters from BIM, material library and meteorological data; using CFD simulation to obtain the dynamic wind pressure field of the building surface, and extracting the wind pressure difference, wind speed, temperature and concentration data and other key driving data at the permeation node; deploying a lightweight PINN proxy model at the permeation node, receiving the driving data and gap geometric parameters, training through embedding the Darcy law physical constraint, and directly predicting the microscale ozone permeation flux; through online dynamic correction of the mass transfer coefficient and comprehensive equivalent pressure difference, coupling the wind pressure enhancement effect, material aging mechanism and thermal pressure effect, realizing real-time coupling simulation of wind, heat and material multi-physical fields. The application realizes high-precision and high-efficiency ozone permeation dynamic prediction.

The invention discloses an intelligent control method and system for wet desulphurization of a thermal power plant, relates to the technical field of wet desulphurization of thermal power plants, and aims to improve the accuracy of limestone slurry supply. The method comprises the following steps: intercepting historical data from a real-time operation data sequence of the desulfurization system to construct a rolling estimation window; establishing a double-process decoupling mechanism model comprising a gas-liquid mass transfer fast dynamic sub-process and a limestone dissolution slow dynamic sub-process; calculating a slurry chemical buffer index in the rolling estimation window; assigning the dynamic lag time in the limestone dissolution slow dynamic sub-process based on a preset nonlinear mapping relation and the slurry chemical buffer index to obtain corrected lag time; in the rolling estimation window, the corrected lag time is used as a known parameter to be substituted into the double-process decoupling mechanism model, and an optimized gas-liquid mass transfer coefficient and an optimized limestone activity coefficient are solved; updating the dual-process decoupling mechanism model according to the optimization coefficient and the correction delay time; a future limestone slurry supply flow command is calculated based on the model.

The invention discloses a method for measuring a gas-liquid mass transfer coefficient of an oxygen-water system in a tubular reactor and an industrial amplification method of a gas-liquid chemical reaction. The method comprises the following test steps: S1, introducing a sodium sulfite aqueous solution, pure water and gas into a tubular reactor, wherein the gas contains oxygen; and S2, adjusting the flow velocity of the sodium sulfite aqueous solution and the flow velocity of the pure water to enable the concentration of oxygen at the outlet end of the tubular reactor to be lower than 0.01 mg / L, and recording the flow velocity QNa2SO3 of the sodium sulfite aqueous solution, the flow velocity QH2O of the pure water and the outlet concentration CNa2SO3out of the sodium sulfite aqueous solution at the moment. The method provided by the invention can be used for guiding the industrial amplification process of the gas-liquid reaction, and the condition parameters in the system are adjusted to meet the requirement of higher gas-liquid mass transfer coefficient during industrial amplification, so that the reaction efficiency of the industrial amplification is improved.

The invention relates to the technical field of processing of fresh meat and animal products, in particular to a finite element-based ultrasonic rolling, kneading and pickling beef brine mass transfer modeling method and application, which comprises the following steps: measuring the content change of salt and moisture in a beef sample under different ultrasonic power conditions, and combining with a Fick second law diffusion model, so as to determine the salt content and moisture content of the beef sample; corresponding salt and water mass transfer coefficients are obtained; establishing a three-dimensional physical field model and a beef sample geometric model by utilizing finite element analysis software, and establishing a simulation model of salt and moisture diffusion; establishing a function relationship between different ultrasonic powers and mass transfer coefficients of salt and moisture; and finally, the two models are combined for use, so that the spatial and temporal distribution conditions of the salinity and the moisture under any ultrasonic power condition can be visually presented. The model method has the characteristics of convenience in operation and dynamic visualization, the permeation condition of the pickling liquid in the beef in the pickling process can be observed, and the development of an ultrasonic synergistic tumbling pickling technology is facilitated.

The present application belongs to the technical field of adsorption process, and discloses a propolis heavy metal dynamic adsorption process optimization control system, which comprises an adsorption bed layer segmentation module, which is used for collecting adsorption process parameters in the propolis heavy metal adsorption operation process, and segmenting the propolis adsorption bed layer according to the adsorption bed layer axial length in the adsorption process parameters; the adsorption process parameters are associated with the segmented bed layer section to generate a section process parameter unit; an adsorption efficiency analysis module is used for calculating the instantaneous adsorption efficiency based on the liquid inlet heavy metal concentration data and the liquid outlet heavy metal concentration data in the adsorption process parameters, and determining the marginal attenuation rate of the adsorption efficiency according to the change of the adsorption efficiency in the operation time; a segmented mass transfer mapping module is used for determining the bed layer structure evolution state parameters according to the section process parameter unit, and determining the mass transfer coefficient of each section in combination with the instantaneous adsorption efficiency; and the operation stability and control precision of the propolis heavy metal dynamic adsorption process are effectively improved.

The embodiment of the present application provides an extraction column, and relates to the technical field of chemical metallurgy. The extraction column comprises a column body, a pulse system and a sieve plate assembly. The column body is internally provided with a mixing area for accommodating a light phase and a heavy phase. The pulse system is used for intermittently outputting a gas pulse to provide an upward thrust for the light phase and the heavy phase. The sieve plate assembly is located in the mixing area and comprises a plurality of spaced sieve plates, and a plurality of sieve plate holes are formed in the sieve plates. The extraction column realizes the purpose of shearing and breaking the dispersed phase by the periodic gas pulse and the up and down jet flow caused by the pulse in a very short time, the obtained dispersed phase is more uniform, a higher mass transfer coefficient can be realized, and the emulsification problem is effectively alleviated.

This application relates to a method for real-time assessment of dialysis adequacy. The method includes: acquiring multimodal input data comprising real-time operating parameters, dialyzer equipment parameters, patient biochemical baseline data, and patient historical treatment data; calculating the theoretical clearance rate using a reverse flow mass transfer model; obtaining an effective mass transfer coefficient by dynamically correcting the mass transfer performance parameters based on the multimodal input data; calculating the real-time effective clearance rate using the effective mass transfer coefficient in the reverse flow mass transfer model; calculating a dialysis adequacy index based on the cumulative value of the real-time effective clearance rate and the urea distribution volume; and generating graded clinical early warning information based on the dialysis adequacy index. This application, by fusing multi-source data to dynamically correct the mass transfer model, can track changes in clearance rate in real time during dialysis treatment and output dialysis adequacy assessment results.

The invention relates to the technical field of data prediction, in particular to an intelligent fault prediction method and system for air separation equipment. The method comprises the following steps: acquiring operation data containing the outlet temperature of the cold blowing stage in the current period; the outlet temperature of the cold blowing stage of the current period is compared with the reference cold blowing temperature, and the temperature deviation is obtained; weighting based on the temperature deviation, the change rate of the outlet temperature in the cold blowing stage and the time index to obtain a thermal lag characteristic index of the current period; a comprehensive aging index is obtained based on the weighted sum value of the thermal hysteresis characteristic index and the bed resistance pressure drop at the end of cold blowing; correcting a standard mass transfer coefficient in the adsorption prediction model to obtain a target mass transfer coefficient; in the adsorption prediction model, predicting the penetration time of the particles by using the target mass transfer coefficient; according to the comparison result of the penetration time and the adsorption run time, intelligent fault prediction of the air separation equipment is realized, and the accuracy of intelligent fault prediction of the air separation equipment is effectively improved.

The application provides an extraction separation process intelligent simulation optimization method based on digital twinning, relates to the technical field of chemical process control, and comprises the following steps: establishing a digital twinning model and a numerical calculation model of an extraction separation physical device, and generating a simulation benchmark state; collecting real-time operation data and comparing the real-time operation data with the simulation benchmark state, identifying a deviation area, adjusting a local mass transfer coefficient, and solving to obtain a correction state field; constructing a coupling matrix of a concentration gradient and a velocity distribution based on the correction state field, calibrating a mass transfer dominant flow area through characteristic decomposition; setting a virtual disturbance source in the area to perform multi-working-condition simulation, and screening an optimal disturbance frequency; extracting a column segment residence time distribution variance, calibrating a flow deviation column segment, and calculating the spatial overlap degree of the flow deviation column segment and the mass transfer dominant flow area; and selecting and executing distributor opening rate or feed pulsation frequency adjustment according to the overlap degree. The application realizes accurate simulation and dynamic optimization of the extraction separation process, and improves the mass transfer efficiency and separation performance.

The invention discloses honeycomb type composite structured packing for a supergravity rotating packed bed and an AM construction method of the honeycomb type composite structured packing, and belongs to the field of chemical process equipment and mass transfer separation engineering. According to the method, a rotor containing a differential module is constructed through titanium alloy and aluminum oxide ceramic particle ball-milling compounding, bionic porosity gradient design and selective laser melting forming, a diamond-like carbon coating and an amine functionalized aluminum oxide coating are deposited on the surface, and a copper-nickel alloy micro-coil electro-catalysis system is integrated. Experiments show that when the filler simulates the working condition of a power plant of 300,000 tons per year, the CO2 capture rate reaches 92.3%, the volume mass transfer coefficient is 3.1 s <-1 >, the desorption energy consumption is 1.85 GJ / ton CO2, the anti-blocking period is prolonged to 420 hours, and the electro-catalytic current efficiency is improved to 81.5%. And meanwhile, the multi-laser-head SLM technology improves the forming efficiency by 3 times, the waste recovery rate is 92%, the whole life cycle cost is reduced by 22% compared with a traditional scheme, the problems that traditional equipment is low in mass transfer efficiency, high in energy consumption, poor in anti-blocking capacity and the like are solved, and the device is suitable for the fields of carbon capture, electro-catalytic conversion and the like.

The present application relates to the field of adsorption detection technology, and discloses an online identification method and system for imidazolium resin adsorption kinetics parameters, comprising: step 1, synchronously collecting flow, inlet and outlet water concentration, conductivity, temperature and pH, and obtaining apparent ionic strength from conductivity; step 2, performing mass balance based on flow, inlet and outlet water concentration and resin dry base mass to obtain real-time trajectory of average adsorption amount of resin; step 3, constructing counter-ion coupled isotherm driving force and screening quasi-equilibrium section; step 4, solving isotherm coupled parameters by simultaneously solving quasi-equilibrium relationship; step 5, point-by-point calculating overall mass transfer coefficient; step 6, simultaneously solving outer membrane mass transfer proportion coefficient and pore mass transfer coefficient under two flow rates; and step 7, constructing core parameter group and outputting consistency judgment result identifier. The present application realizes online identification and consistency judgment of imidazolium resin adsorption thermodynamic parameters and mass transfer kinetic parameters.

The application discloses an AI-based optimal desulfurization environment simulation method and system, and belongs to the technical field of desulfurization system optimization. The technical solution points comprise the following steps: obtaining original input data, preprocessing the original input data to obtain an input data set, obtaining a preliminary environment simulation model through a mass balance model and a deep neural network based on the input data set, obtaining a calibrated effective volume mass transfer coefficient through a Kalman filtering algorithm including a memory directional drift model and a double-time scale strategy based on the preliminary environment simulation model, obtaining an environment simulation model based on the preliminary environment simulation model and the effective volume mass transfer coefficient, and obtaining a pH set value and a circulating pump frequency set value through a Bayesian algorithm based on the environment simulation model. The application solves the misalignment problem caused by parameter fixation by using the memory directional drift model, the double-time scale strategy and the Bayesian algorithm, and realizes high-fidelity simulation of a desulfurization environment, self-adaptive calibration of key parameters and autonomous optimization of operation settings.

The present application relates to a kind of fluid mass transfer device and method of bubble strengthening using reverse single vortex, the device includes reverse cyclone and cyclone liquid storage chamber, reverse cyclone includes the cylindrical cavity part and cyclone cavity part that inside is cavity;Method is: liquid and gas are mixed in reverse cyclone Contact, and generate the cyclone field by bubble group;Liquid and bubble form liquid cyclone to side wall and bubble cyclone to the state of gas-liquid reverse flow to center;After cyclone, gas and liquid discharge;Using equipment measures the discharged liquid and gas, judges mass transfer effect.Compared with prior art, the present application has high gas rate using gas-liquid reverse cyclone, greatly improve the gas-liquid mass transfer area of unit space, strengthen gas-liquid mass transfer effect;It can realize larger gas-liquid mass transfer area and gas-liquid mass transfer coefficient under the premise of smaller pressure drop loss;Cyclone field structure is suitable for different liquid of larger range viscosity etc. Advantage.

The invention discloses a visual screening method for planting termitomyces albuminosus for processing, and relates to the technical field of food processing pretreatment and online quality grading. Interface prior and raw material quality evaluation indexes are obtained through micro-fog wetting dynamic imaging and four-dimensional space-time body representation; according to the method, the evaporation flux, the gas-phase mass transfer coefficient and the boundary layer thickness are inversed by combining a knife edge type Schriz light path, a two-section type humidity step is adaptively set, a memory curve fingerprint and processing suitability evaluation index is calculated by a controlled recursion model, and the bioactive components are estimated through a prediction relation established through offline calibration. Evaluating the suitability of the collybia albuminosa sample purposes by adopting a multi-purpose suitability scoring model, outputting a purpose classification result and a process parameter range of a corresponding purpose, issuing process parameters to downstream processing equipment, receiving quality monitoring data to form feedback, independently correcting a parameter mapping relation according to the type of the purpose, and determining the quality of the collybia albuminosa sample. And a full-chain closed loop of raw material evaluation, parameter generation, processing execution and quality feedback is realized.